A fraud management system architecture for next-generation networks
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Date
Authors
Bihina Bella, M.A. (Madeleine Adrienne)
Eloff, Jan H.P.
Olivier, Martin S.
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
This paper proposes an original architecture for a fraud management system (FMS) for convergent. Nextgeneration networks (NGNs), which are based on the Internet protocol (IP). The architecture has the potential to satisfy the requirements of flexibility and application-independency for effective fraud detection in NGNs that cannot be met by traditional FMSs. The proposed architecture has a thorough four-stage detection process that analyses billing records in IP detail record (IPDR) format – an emerging
IP-based billing standard – for signs of fraud. Its key feature is its usage of neural networks in the form of self-organising maps (SOMs) to help uncover unknown NGN fraud scenarios. A prototype was implemented to test the effectiveness of using a SOM for fraud detection and is also described in the paper.
Description
Keywords
Fraud management system (FMS), Internet protocol (IP), Internet protocol detail record (IPDR), Next-generation network (NGN), Self-organising map (SOM), Telecommunications fraud
Sustainable Development Goals
Citation
Bihina Bella, MA, Eloff, JHP & Olivier, MS 2009, 'A fraud management system architecture for next-generation networks', Forensic Science International (2009). [doi:10.1016/j.forsciint.2008.12.013]